11 citations · 29 across the 17 of their papers we have counts for
4 papers · 1 filter
EmotionGIF-IITP-AINLPML: Ensemble-based Automated Deep Neural System for predicting category(ies) of a GIF response
Soumitra Ghosh, Arkaprava Roy, Asif Ekbal +1
In this paper, we describe the systems submitted by our IITP-AINLPML team in the shared task of SocialNLP 2020, EmotionGIF 2020, on predicting the category(ies) of a GIF response f…
Time-varying auto-regressive models for count time-series
Arkaprava Roy, Sayar Karmakar
Count-valued time series data are routinely collected in many application areas. We are particularly motivated to study the count time series of daily new cases, arising from COVID…
Bayesian modelling of time-varying conditional heteroscedasticity
Sayar Karmakar, Arkaprava Roy
Conditional heteroscedastic (CH) models are routinely used to analyze financial datasets. The classical models such as ARCH-GARCH with time-invariant coefficients are often inadequ…
Analyzing initial stage of COVID-19 transmission through Bayesian time-varying model
Arkaprava Roy, Sayar Karmakar
Recent outbreak of the novel coronavirus COVID-19 has affected all of our lives in one way or the other. While medical researchers are working hard to find a cure and doctors/nurse…